A fuzzy compromise approach for solving multi-objective stratified sampling design

被引:0
作者
Shazia Ghufran
Srikant Gupta
Aquil Ahmed
机构
[1] Aligarh Muslim University,Department of Statistics and Operations Research
[2] Jaipuria Institute of Management,undefined
来源
Neural Computing and Applications | 2021年 / 33卷
关键词
Fuzzy compromise allocation; Multivariate stratified sampling; Multi-objective programming;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we established a framework for finding out the optimal allocation in the multivariate stratified sample using the fuzzy compromise method. The problem of multivariate stratified sample is formulated as an all integer nonlinear programming problem, and a solution is obtained by using the criterion of “Minimizing the sum of the squares of coefficient of variation for different characteristics.” There is also a quantitative illustration being carried out to explain the statistical nature of the approaches and solved through the LINGO program. We have also studied different techniques for comparison.
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页码:10829 / 10840
页数:11
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